Design of efficient multiobjective binary PSO algorithms for solving multi‐item capacitated lot‐sizing problem-Reference-Cited by-同舟云学术

Design of efficient multiobjective binary PSO algorithms for solving multi‐item capacitated lot‐sizing problem

Published:2021-09-30 Issue:2 Volume:37 Page:1723-1750
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Ben Ammar Hanen¹^ORCID,Ben Yahia Wafa¹²^ORCID,Ayadi Omar¹^ORCID,Masmoudi Faouzi¹^ORCID

Affiliation:

1. Mechanics, Modelling and Production Research Laboratory, Mechanical Department National School of Engineering of Sfax, University of Sfax Sfax Tunisia

2. Mechanical Department, National School of Engineering of Gabes University of Gabes Gabes Tunisia

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22693

Reference26 articles.

1. Solving the capacitated lot-sizing problem with backorder consideration

2. Analysis of relaxations for the multi-item capacitated lot-sizing problem

3. Designing new heuristics for the capacitated lot sizing problem by genetic programming

4. Effective matheuristics for the multi-item capacitated lot-sizing problem with remanufacturing

5. Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem

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